An interface for visual inspection based on image segmentation

  • Authors:
  • James Mardell;Mark Witkowski;Robert Spence

  • Affiliations:
  • Imperial College London, London;Imperial College London, London;Imperial College London, London

  • Venue:
  • Proceedings of the International Working Conference on Advanced Visual Interfaces
  • Year:
  • 2012

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Abstract

If a person is lost in the wilderness it is increasingly normal for the area in question to be over-flown by an Unmanned Aerial Vehicle (UAV) whose on-board video camera transmits a view of the terrain below. It is then the task of a human operator to visually inspect that view by means of a visual interface specifically designed to enhance the likelihood of the missing person being located. We investigate a novel approach to the visual inspection of the terrain image: that of presenting small segments of that image for very short periods of time, though commensurate with the speed at which the UAV flies. Participants took part in an investigation in which the challenging task was to identify the presence, in typical terrain images, of human beings. Six representative terrain maps were involved, and the six degrees of segmentation explored were such as to provide individual terrain image viewing times between 3.9 s and 108 ms. We report the result of investigating the proposed segmentation approach to visual inspection in the demanding and realistic context of Wilderness Search and Rescue. Our investigation reveals a clear and distinctive change of visual search strategy as segmentation increases, equating to a shift between well-established notions of serial attentive search and parallel (pre-attentive) recognition.